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ORIGINAL RESEARCH article

Front. Public Health, 10 August 2021
Sec. Digital Public Health
Volume 9 - 2021 | https://doi.org/10.3389/fpubh.2021.726144
This article is part of the Research Topic Emerging Challenges for Deep Learning in Dealing with Biomedical and Healthcare Data View all 5 articles

RETRACTED: Deep Fractional Max Pooling Neural Network for COVID-19 Recognition

Retracted

A retraction of this article was approved in:

  1. Retraction: Deep fractional max pooling neural network for COVID-19 recognition

    1. Read retraction
\nShui-Hua Wang&#x;Shui-Hua Wang1†Suresh Chandra Satapathy&#x;Suresh Chandra Satapathy2†Donovan AndersonDonovan Anderson1Shi-Xin Chen Shi-Xin Chen3*Yu-Dong Zhang Yu-Dong Zhang4*
  • 1School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom
  • 2School of Computer Engineering, KIIT Deemed to University, Bhubaneswar, India
  • 3Nursing Department, The Fourth People's Hospital of Huai'an, Huai'an, China
  • 4School of Informatics, University of Leicester, Leicester, United Kingdom

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Wang S-H, Satapathy SC, Anderson D, Chen S-X and Zhang Y-D (2021) Deep Fractional Max Pooling Neural Network for COVID-19 Recognition. Front. Public Health 9:726144. doi: 10.3389/fpubh.2021.726144

Received: 16 June 2021; Accepted: 09 July 2021;
Published: 10 August 2021; Retracted: 03 January 2024.

Edited by:

B. Janakiramaiah, Prasad V. Potluri Siddhartha Institute of Technology, India

Reviewed by:

Dimas Lima, Federal University of Santa Catarina, Brazil
Daoyan Lu, Nanjing Medical University, China

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